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BERT (Czech Wikipedia)

Analysis of information sources in references of the Wikipedia article "BERT" in Czech language version.

Last modified:

Ref.Un. Ref.Website
Global rank Czech rank
33googleblog.com
3,285th place
2,367th place
33arxiv.org
49th place
162nd place
21vitalflux.com
low place
low place
21h2o.ai
low place
low place
11towardsdatascience.com
low place
9,650th place
11invgate.com
low place
low place
11ibm.com
1,369th place
1,296th place
11blog.google
4,904th place
4,020th place
11web.archive.org
1st place
1st place
11techscience.com
low place
low place
11worldcat.org
4th place
2nd place
11doi.org
2nd place
4th place

arxiv.org (Global: 49th place; Czech: 162nd place)

  • DEVLIN, Jacob; CHANG, Ming-Wei; LEE, Kenton. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv:1810.04805 [cs]. 2019-05-24. ArXiv: 1810.04805 version: 2. Dostupné online [cit. 2022-10-27].
  • ROGERS, Anna; KOVALEVA, Olga; RUMSHISKY, Anna. A Primer in BERTology: What we know about how BERT works. arXiv:2002.12327 [cs]. 2020-11-09. ArXiv: 2002.12327. Dostupné online [cit. 2022-10-27].
  • ZHU, Yukun; KIROS, Ryan; ZEMEL, Richard. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books. arXiv:1506.06724 [cs]. 2015-06-22. ArXiv: 1506.06724. Dostupné online [cit. 2022-10-27].

blog.google (Global: 4,904th place; Czech: 4,020th place)

  • Understanding searches better than ever before. Google [online]. 2019-10-25 [cit. 2023-08-19]. Dostupné online. (anglicky)

doi.org (Global: 2nd place; Czech: 4th place)

  • ABAS, Ahmed; ELHENAWY, Ibrahim; ZIDAN, Mahinda. BERT-CNN: A Deep Learning Model for Detecting Emotions from Text. Computers, Materials & Continua. 2021, roč. 71, čís. 2, s. 2943–2961. Dostupné online [cit. 2023-08-19]. ISSN 1546-2218. doi:10.32604/cmc.2022.021671. (anglicky)

googleblog.com (Global: 3,285th place; Czech: 2,367th place)

ai.googleblog.com

  • Transformer: A Novel Neural Network Architecture for Language Understanding. ai.googleblog.com [online]. 2017-08-31 [cit. 2023-08-20]. Dostupné online. (anglicky)
  • Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing. ai.googleblog.com [online]. [cit. 2022-10-27]. Dostupné online. (anglicky)
  • Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing. ai.googleblog.com [online]. 2018-11-02 [cit. 2023-08-20]. Dostupné online. (anglicky)

h2o.ai (Global: low place; Czech: low place)

  • BERT Basics: What It Is, Creation, and Uses in AI. h2o.ai [online]. [cit. 2022-10-27]. Dostupné online.

ibm.com (Global: 1,369th place; Czech: 1,296th place)

  • AJAYI, Demi. How BERT and GPT models change the game for NLP [online]. 2020-12-03 [cit. 2023-08-19]. Dostupné online. (anglicky)

invgate.com (Global: low place; Czech: low place)

blog.invgate.com

  • MOTTESI, Celeste. GPT-3 vs. BERT: Comparing the Two Most Popular Language Models. blog.invgate.com [online]. [cit. 2023-08-19]. Dostupné online. (anglicky)

techscience.com (Global: low place; Czech: low place)

  • ABAS, Ahmed; ELHENAWY, Ibrahim; ZIDAN, Mahinda. BERT-CNN: A Deep Learning Model for Detecting Emotions from Text. Computers, Materials & Continua. 2021, roč. 71, čís. 2, s. 2943–2961. Dostupné online [cit. 2023-08-19]. ISSN 1546-2218. doi:10.32604/cmc.2022.021671. (anglicky)

towardsdatascience.com (Global: low place; Czech: 9,650th place)

  • HOREV, Rani. BERT Explained: State of the art language model for NLP. Medium [online]. 2018-11-17 [cit. 2023-08-19]. Dostupné online. (anglicky)

vitalflux.com (Global: low place; Czech: low place)

  • KUMAR, Ajitesh. BERT vs GPT Models: Differences, Examples [online]. 2023-08-19 [cit. 2023-08-20]. Dostupné online. (anglicky)

web.archive.org (Global: 1st place; Czech: 1st place)

worldcat.org (Global: 4th place; Czech: 2nd place)

  • ABAS, Ahmed; ELHENAWY, Ibrahim; ZIDAN, Mahinda. BERT-CNN: A Deep Learning Model for Detecting Emotions from Text. Computers, Materials & Continua. 2021, roč. 71, čís. 2, s. 2943–2961. Dostupné online [cit. 2023-08-19]. ISSN 1546-2218. doi:10.32604/cmc.2022.021671. (anglicky)